{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import re\n",
    "from pyecharts import options as opts\n",
    "from pyecharts.commons.utils import JsCode\n",
    "from pyecharts.charts import Bar\n",
    "from pyecharts.charts import Pie\n",
    "import jieba\n",
    "from nltk import FreqDist\n",
    "import wordcloud\n",
    "from matplotlib import pyplot as plt\n",
    "# 导入相关的模块"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(r\"D:\\scrapy文件\\处理好的数据.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_pie(datas, title):\n",
    "    pie = Pie()\n",
    "    pie.add(\"\", datas)\n",
    "    pie.set_global_opts(\n",
    "        title_opts=opts.TitleOpts(title=title),\n",
    "        legend_opts=opts.LegendOpts(pos_right=\"right\")\n",
    "    )\n",
    "    pie.set_series_opts(label_opts=opts.LabelOpts(formatter=\"{b}: {c}-{d}%\"))\n",
    "    return pie\n",
    "# 设置饼图通用模型"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "<script>\n",
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       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
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       "</script>\n",
       "\n",
       "        <div id=\"fa781e9a39884fa2a307ac1dde29aece\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
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       "    \"animationThreshold\": 2000,\n",
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       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
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       "                    \"value\": 299\n",
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       "                {\n",
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       "                {\n",
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       "                    \"value\": 217\n",
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       "                {\n",
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       "                {\n",
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       "            \"center\": [\n",
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       "            \"label\": {\n",
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       "                \"brushType\": \"stroke\",\n",
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       "                \"period\": 4\n",
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       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u5f00\\u53d1\\u5de5\\u7a0b\\u5e08\",\n",
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       "                \"\\u8fd0\\u7ef4\",\n",
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       "                \"\\u5927\\u6570\\u636e\",\n",
       "                \"\\u6570\\u636e\\u5206\\u6790\",\n",
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       "                \"\\u6570\\u636e\\u5e93\",\n",
       "                \"\\u67b6\\u6784\\u5e08\",\n",
       "                \"\\u6570\\u636e\\u6316\\u6398\",\n",
       "                \"\\u7cfb\\u7edf\\u5de5\\u7a0b\\u5e08\",\n",
       "                \"\\u722c\\u866b\",\n",
       "                \"\\u6df1\\u5ea6\\u5b66\\u4e60\",\n",
       "                \"\\u8fd0\\u8425\",\n",
       "                \"web\",\n",
       "                \"\\u673a\\u5668\\u5b66\\u4e60\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"right\": \"right\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u70ed\\u95e8\\u5c97\\u4f4d\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_fa781e9a39884fa2a307ac1dde29aece.setOption(option_fa781e9a39884fa2a307ac1dde29aece);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83ce47408>"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 展示热门岗位\n",
    "data_title = df[\"职位\"].value_counts()\n",
    "data1 = list(zip(data_title.index.to_list(), data_title.to_list()))\n",
    "pie = create_pie(data1, \"热门岗位\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"984e2089574b487c8a6ec2f77c1d0e16\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_984e2089574b487c8a6ec2f77c1d0e16 = echarts.init(\n",
       "                    document.getElementById('984e2089574b487c8a6ec2f77c1d0e16'), 'white', {renderer: 'canvas'});\n",
       "                var option_984e2089574b487c8a6ec2f77c1d0e16 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
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       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {c}-{d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
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       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u672c\\u79d1\",\n",
       "                \"\\u5927\\u4e13\",\n",
       "                \"\\u4e0d\\u9650\",\n",
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       "                \"\\u535a\\u58eb\",\n",
       "                \"\\u4e2d\\u4e13\",\n",
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       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
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       "        \"borderWidth\": 0\n",
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       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u5b66\\u5386\\u8981\\u6c42\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
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       "                chart_984e2089574b487c8a6ec2f77c1d0e16.setOption(option_984e2089574b487c8a6ec2f77c1d0e16);\n",
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      ],
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       "<pyecharts.render.display.HTML at 0x1a83d4d0d08>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 展示学历要求\n",
    "data_edu = df[\"学历\"].value_counts()\n",
    "data2 = list(zip(data_edu.index.to_list(), data_edu.to_list()))\n",
    "pie = create_pie(data2, \"学历要求\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "                    document.getElementById('98da36ce9c88482c83102d285e48ecd9'), 'white', {renderer: 'canvas'});\n",
       "                var option_98da36ce9c88482c83102d285e48ecd9 = {\n",
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       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
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       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
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       "        \"#ca8622\",\n",
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       "        \"#c4ccd3\",\n",
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       "    \"series\": [\n",
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       "                {\n",
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       "                    \"value\": 1885\n",
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       "                {\n",
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       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {c}-{d}%\"\n",
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       "            \"rippleEffect\": {\n",
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       "                \"period\": 4\n",
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       "    \"legend\": [\n",
       "        {\n",
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       "                \"2\\u5e74\\u7ecf\\u9a8c\",\n",
       "                \"\\u65e0\\u9700\\u7ecf\\u9a8c\",\n",
       "                \"5-7\\u5e74\\u7ecf\\u9a8c\",\n",
       "                \"1\\u5e74\\u7ecf\\u9a8c\",\n",
       "                \"8-9\\u5e74\\u7ecf\\u9a8c\",\n",
       "                \"10\\u5e74\\u4ee5\\u4e0a\\u7ecf\\u9a8c\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"right\": \"right\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u5de5\\u4f5c\\u7ecf\\u9a8c\\u8981\\u6c42\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_98da36ce9c88482c83102d285e48ecd9.setOption(option_98da36ce9c88482c83102d285e48ecd9);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d4be788>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 展示工作经验\n",
    "data_exp = df[\"工作经验\"].value_counts()\n",
    "data3 = list(zip(data_exp.index.to_list(), data_exp.to_list()))\n",
    "pie = create_pie(data3, \"工作经验要求\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"0be6845f4203490fafa2d892b1583bcd\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_0be6845f4203490fafa2d892b1583bcd = echarts.init(\n",
       "                    document.getElementById('0be6845f4203490fafa2d892b1583bcd'), 'white', {renderer: 'canvas'});\n",
       "                var option_0be6845f4203490fafa2d892b1583bcd = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"\\u4e0a\\u6d77\",\n",
       "                    \"value\": 3282\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u6df1\\u5733\",\n",
       "                    \"value\": 2364\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5e7f\\u5dde\",\n",
       "                    \"value\": 2052\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5317\\u4eac\",\n",
       "                    \"value\": 1827\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u676d\\u5dde\",\n",
       "                    \"value\": 1095\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5357\\u4eac\",\n",
       "                    \"value\": 815\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u6210\\u90fd\",\n",
       "                    \"value\": 804\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u6b66\\u6c49\",\n",
       "                    \"value\": 608\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u82cf\\u5dde\",\n",
       "                    \"value\": 513\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u897f\\u5b89\",\n",
       "                    \"value\": 404\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u957f\\u6c99\",\n",
       "                    \"value\": 338\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u91cd\\u5e86\",\n",
       "                    \"value\": 267\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5408\\u80a5\",\n",
       "                    \"value\": 226\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5927\\u8fde\",\n",
       "                    \"value\": 169\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u798f\\u5dde\",\n",
       "                    \"value\": 165\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u9752\\u5c9b\",\n",
       "                    \"value\": 152\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u65e0\\u9521\",\n",
       "                    \"value\": 142\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u73e0\\u6d77\",\n",
       "                    \"value\": 132\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u90d1\\u5dde\",\n",
       "                    \"value\": 130\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u4f5b\\u5c71\",\n",
       "                    \"value\": 127\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"0%\",\n",
       "                \"75%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {c}-{d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u4e0a\\u6d77\",\n",
       "                \"\\u6df1\\u5733\",\n",
       "                \"\\u5e7f\\u5dde\",\n",
       "                \"\\u5317\\u4eac\",\n",
       "                \"\\u676d\\u5dde\",\n",
       "                \"\\u5357\\u4eac\",\n",
       "                \"\\u6210\\u90fd\",\n",
       "                \"\\u6b66\\u6c49\",\n",
       "                \"\\u82cf\\u5dde\",\n",
       "                \"\\u897f\\u5b89\",\n",
       "                \"\\u957f\\u6c99\",\n",
       "                \"\\u91cd\\u5e86\",\n",
       "                \"\\u5408\\u80a5\",\n",
       "                \"\\u5927\\u8fde\",\n",
       "                \"\\u798f\\u5dde\",\n",
       "                \"\\u9752\\u5c9b\",\n",
       "                \"\\u65e0\\u9521\",\n",
       "                \"\\u73e0\\u6d77\",\n",
       "                \"\\u90d1\\u5dde\",\n",
       "                \"\\u4f5b\\u5c71\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"right\": \"right\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u70ed\\u95e8\\u57ce\\u5e02\\u7684\\u5c97\\u4f4d\\u6570\\u91cf\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_0be6845f4203490fafa2d892b1583bcd.setOption(option_0be6845f4203490fafa2d892b1583bcd);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a836c2c4c8>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 热门城市，只展示前20个\n",
    "data_location = df[\"工作地点\"].value_counts()[:20]\n",
    "datas = list(zip(data_location.index.to_list(), data_location.to_list()))\n",
    "pie = create_pie(datas, \"热门城市的岗位数量\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"e9d32a3feaff47fb802cbc9817497d05\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_e9d32a3feaff47fb802cbc9817497d05 = echarts.init(\n",
       "                    document.getElementById('e9d32a3feaff47fb802cbc9817497d05'), 'white', {renderer: 'canvas'});\n",
       "                var option_e9d32a3feaff47fb802cbc9817497d05 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"\\u6c11\\u8425\\u516c\\u53f8\",\n",
       "                    \"value\": 10565\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u4e0a\\u5e02\\u516c\\u53f8\",\n",
       "                    \"value\": 2090\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u56fd\\u4f01\",\n",
       "                    \"value\": 1295\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5408\\u8d44\",\n",
       "                    \"value\": 1260\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5916\\u8d44\\uff08\\u6b27\\u7f8e\\uff09\",\n",
       "                    \"value\": 750\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5916\\u8d44\\uff08\\u975e\\u6b27\\u7f8e\\uff09\",\n",
       "                    \"value\": 667\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u521b\\u4e1a\\u516c\\u53f8\",\n",
       "                    \"value\": 332\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u4e8b\\u4e1a\\u5355\\u4f4d\",\n",
       "                    \"value\": 188\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u975e\\u8425\\u5229\\u7ec4\\u7ec7\",\n",
       "                    \"value\": 23\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5916\\u4f01\\u4ee3\\u8868\\u5904\",\n",
       "                    \"value\": 5\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"0%\",\n",
       "                \"75%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {c}-{d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u6c11\\u8425\\u516c\\u53f8\",\n",
       "                \"\\u4e0a\\u5e02\\u516c\\u53f8\",\n",
       "                \"\\u56fd\\u4f01\",\n",
       "                \"\\u5408\\u8d44\",\n",
       "                \"\\u5916\\u8d44\\uff08\\u6b27\\u7f8e\\uff09\",\n",
       "                \"\\u5916\\u8d44\\uff08\\u975e\\u6b27\\u7f8e\\uff09\",\n",
       "                \"\\u521b\\u4e1a\\u516c\\u53f8\",\n",
       "                \"\\u4e8b\\u4e1a\\u5355\\u4f4d\",\n",
       "                \"\\u975e\\u8425\\u5229\\u7ec4\\u7ec7\",\n",
       "                \"\\u5916\\u4f01\\u4ee3\\u8868\\u5904\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"right\": \"right\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u516c\\u53f8\\u7c7b\\u578b\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_e9d32a3feaff47fb802cbc9817497d05.setOption(option_e9d32a3feaff47fb802cbc9817497d05);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d4ccc88>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 公司类型\n",
    "data_type = df[\"公司类型\"].value_counts()\n",
    "data4 = list(zip(data_type.index.to_list(), data_type.to_list()))\n",
    "pie = create_pie(data4, \"公司类型\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"98ad305b30914232ac5306cddf0d43e2\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_98ad305b30914232ac5306cddf0d43e2 = echarts.init(\n",
       "                    document.getElementById('98ad305b30914232ac5306cddf0d43e2'), 'white', {renderer: 'canvas'});\n",
       "                var option_98ad305b30914232ac5306cddf0d43e2 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"pie\",\n",
       "            \"clockwise\": true,\n",
       "            \"data\": [\n",
       "                {\n",
       "                    \"name\": \"50-150\\u4eba\",\n",
       "                    \"value\": 4289\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"150-500\\u4eba\",\n",
       "                    \"value\": 4030\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"1000-5000\\u4eba\",\n",
       "                    \"value\": 2817\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"500-1000\\u4eba\",\n",
       "                    \"value\": 1966\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"\\u5c11\\u4e8e50\\u4eba\",\n",
       "                    \"value\": 1951\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"10000\\u4eba\\u4ee5\\u4e0a\",\n",
       "                    \"value\": 1349\n",
       "                },\n",
       "                {\n",
       "                    \"name\": \"5000-10000\\u4eba\",\n",
       "                    \"value\": 518\n",
       "                }\n",
       "            ],\n",
       "            \"radius\": [\n",
       "                \"0%\",\n",
       "                \"75%\"\n",
       "            ],\n",
       "            \"center\": [\n",
       "                \"50%\",\n",
       "                \"50%\"\n",
       "            ],\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"top\",\n",
       "                \"margin\": 8,\n",
       "                \"formatter\": \"{b}: {c}-{d}%\"\n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"50-150\\u4eba\",\n",
       "                \"150-500\\u4eba\",\n",
       "                \"1000-5000\\u4eba\",\n",
       "                \"500-1000\\u4eba\",\n",
       "                \"\\u5c11\\u4e8e50\\u4eba\",\n",
       "                \"10000\\u4eba\\u4ee5\\u4e0a\",\n",
       "                \"5000-10000\\u4eba\"\n",
       "            ],\n",
       "            \"selected\": {},\n",
       "            \"show\": true,\n",
       "            \"right\": \"right\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u516c\\u53f8\\u89c4\\u6a21\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_98ad305b30914232ac5306cddf0d43e2.setOption(option_98ad305b30914232ac5306cddf0d43e2);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d4d05c8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 公司规模\n",
    "data_type = df[\"公司规模\"].value_counts()\n",
    "data5 = list(zip(data_type.index.to_list(), data_type.to_list()))\n",
    "pie = create_pie(data5, \"公司规模\")\n",
    "pie.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 设置柱状图的颜色变化\n",
    "color_function = \"\"\"\n",
    "        function (params) { \n",
    "            var colorList = [ \n",
    "            '#808000','#EFE42A','#64BD3D','#EE9201','#29AAE3', \n",
    "            '#B74AE5','#0AAF9F','#E89589','#FF6666','#C33531']; \n",
    "            return colorList[params.dataIndex] \n",
    "        }\n",
    "        \"\"\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"85344b8d01eb47cead75c1256bce5e87\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_85344b8d01eb47cead75c1256bce5e87 = echarts.init(\n",
       "                    document.getElementById('85344b8d01eb47cead75c1256bce5e87'), 'white', {renderer: 'canvas'});\n",
       "                var option_85344b8d01eb47cead75c1256bce5e87 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u5de5\\u8d44\",\n",
       "            \"data\": [\n",
       "                16064,\n",
       "                17167,\n",
       "                17596,\n",
       "                19228,\n",
       "                20424,\n",
       "                20761,\n",
       "                20959,\n",
       "                20999,\n",
       "                21351,\n",
       "                26978\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"right\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"itemStyle\": {\n",
       "                \"color\":         function (params) {             var colorList = [             '#808000','#EFE42A','#64BD3D','#EE9201','#29AAE3',             '#B74AE5','#0AAF9F','#E89589','#FF6666','#C33531'];             return colorList[params.dataIndex]         }        \n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u5de5\\u8d44\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u5de5\\u8d44\": true\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u5f00\\u53d1\\u5de5\\u7a0b\\u5e08\",\n",
       "                \"\\u5b89\\u5168\",\n",
       "                \"\\u5927\\u6570\\u636e\",\n",
       "                \"\\u540e\\u7aef\",\n",
       "                \"\\u673a\\u5668\\u5b66\\u4e60\",\n",
       "                \"\\u6df1\\u5ea6\\u5b66\\u4e60\",\n",
       "                \"\\u4eba\\u5de5\\u667a\\u80fd\",\n",
       "                \"\\u7b97\\u6cd5\\u5de5\\u7a0b\\u5e08\",\n",
       "                \"\\u6570\\u636e\\u6316\\u6398\",\n",
       "                \"\\u67b6\\u6784\\u5e08\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u70ed\\u95e8\\u5c97\\u4f4d\\u5de5\\u8d44\\u5bf9\\u6bd4\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_85344b8d01eb47cead75c1256bce5e87.setOption(option_85344b8d01eb47cead75c1256bce5e87);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d32d248>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 热门岗位的工资对比，取前10个\n",
    "salary_data = df.groupby(by=\"职位\").mean()[\"平均工资\"].sort_values(ascending=False)[:10]\n",
    "salary_data = salary_data.sort_values().astype(np.int)\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(salary_data.index.tolist())\n",
    "    .add_yaxis(\"工资\",salary_data.tolist(), itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_function)))\n",
    "    .reversal_axis()\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"热门岗位工资对比\"))\n",
    ")\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"c3ca08c626514c6894e05a540ea269fc\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_c3ca08c626514c6894e05a540ea269fc = echarts.init(\n",
       "                    document.getElementById('c3ca08c626514c6894e05a540ea269fc'), 'white', {renderer: 'canvas'});\n",
       "                var option_c3ca08c626514c6894e05a540ea269fc = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u5de5\\u8d44\",\n",
       "            \"data\": [\n",
       "                12528,\n",
       "                13201,\n",
       "                13350,\n",
       "                14786,\n",
       "                14878,\n",
       "                15111,\n",
       "                16898,\n",
       "                17817,\n",
       "                18594,\n",
       "                20983\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"right\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"itemStyle\": {\n",
       "                \"color\":         function (params) {             var colorList = [             '#808000','#EFE42A','#64BD3D','#EE9201','#29AAE3',             '#B74AE5','#0AAF9F','#E89589','#FF6666','#C33531'];             return colorList[params.dataIndex]         }        \n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u5de5\\u8d44\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u5de5\\u8d44\": true\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u897f\\u5b89\",\n",
       "                \"\\u6b66\\u6c49\",\n",
       "                \"\\u6210\\u90fd\",\n",
       "                \"\\u82cf\\u5dde\",\n",
       "                \"\\u5357\\u4eac\",\n",
       "                \"\\u5e7f\\u5dde\",\n",
       "                \"\\u676d\\u5dde\",\n",
       "                \"\\u6df1\\u5733\",\n",
       "                \"\\u4e0a\\u6d77\",\n",
       "                \"\\u5317\\u4eac\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u70ed\\u95e8\\u57ce\\u5e02\\u5de5\\u8d44\\u5bf9\\u6bd4\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_c3ca08c626514c6894e05a540ea269fc.setOption(option_c3ca08c626514c6894e05a540ea269fc);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d5836c8>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 热门城市的工资对比，取前10个\n",
    "address_list = ['北京', '上海', '广州', '深圳', '杭州', '南京',\n",
    "                '苏州',  '武汉', '成都', '西安']\n",
    "address_list = np.array(address_list)\n",
    "index = [df[\"工作地点\"].str.count(i) for i in address_list]\n",
    "index = np.array(index).sum(axis=0) > 0\n",
    "df1 = df[index]\n",
    "salary_data = df1.groupby(by=\"工作地点\").mean()[\"平均工资\"].sort_values(ascending=False)[:10]\n",
    "salary_data = salary_data.sort_values().astype(np.int)\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(salary_data.index.tolist())\n",
    "    .add_yaxis(\"工资\",salary_data.tolist(), itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_function)))\n",
    "    .reversal_axis()\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"热门城市工资对比\"))\n",
    ")\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"c0966ec7065d4bfca6d15142f92b9f08\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_c0966ec7065d4bfca6d15142f92b9f08 = echarts.init(\n",
       "                    document.getElementById('c0966ec7065d4bfca6d15142f92b9f08'), 'white', {renderer: 'canvas'});\n",
       "                var option_c0966ec7065d4bfca6d15142f92b9f08 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u5de5\\u8d44\",\n",
       "            \"data\": [\n",
       "                11050,\n",
       "                14119,\n",
       "                14253,\n",
       "                15216,\n",
       "                15671,\n",
       "                15819,\n",
       "                15836,\n",
       "                16292,\n",
       "                16963,\n",
       "                18067\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"right\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"itemStyle\": {\n",
       "                \"color\":         function (params) {             var colorList = [             '#808000','#EFE42A','#64BD3D','#EE9201','#29AAE3',             '#B74AE5','#0AAF9F','#E89589','#FF6666','#C33531'];             return colorList[params.dataIndex]         }        \n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u5de5\\u8d44\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u5de5\\u8d44\": true\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u5916\\u4f01\\u4ee3\\u8868\\u5904\",\n",
       "                \"\\u975e\\u8425\\u5229\\u7ec4\\u7ec7\",\n",
       "                \"\\u4e8b\\u4e1a\\u5355\\u4f4d\",\n",
       "                \"\\u521b\\u4e1a\\u516c\\u53f8\",\n",
       "                \"\\u5408\\u8d44\",\n",
       "                \"\\u56fd\\u4f01\",\n",
       "                \"\\u6c11\\u8425\\u516c\\u53f8\",\n",
       "                \"\\u4e0a\\u5e02\\u516c\\u53f8\",\n",
       "                \"\\u5916\\u8d44\\uff08\\u975e\\u6b27\\u7f8e\\uff09\",\n",
       "                \"\\u5916\\u8d44\\uff08\\u6b27\\u7f8e\\uff09\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u516c\\u53f8\\u7c7b\\u578b\\u5de5\\u8d44\\u5bf9\\u6bd4\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_c0966ec7065d4bfca6d15142f92b9f08.setOption(option_c0966ec7065d4bfca6d15142f92b9f08);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83cc73308>"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "salary_data = df.groupby(by=\"公司类型\").mean()[\"平均工资\"].sort_values(ascending=False)\n",
    "salary_data = salary_data.sort_values().astype(np.int)\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(salary_data.index.tolist())\n",
    "    .add_yaxis(\"工资\",salary_data.tolist(), itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_function)))\n",
    "    .reversal_axis()\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"公司类型工资对比\"))\n",
    ")\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 展示热门\"行业\"对比，由于一家公司可能有多个行业标签，故先分开进行统计\n",
    "df1 = df.loc[df[\"行业\"].notna()]  #删除某一列\"行业\"中的的空值\n",
    "temp_list = df1[\"行业\"].apply(lambda x: re.split('[/,]',x))\n",
    "temp_list = temp_list.tolist()\n",
    "field_list = list(set([i for j in temp_list for i in j]))\n",
    "# 创建一个全为0的ndarray数组来存储行业信息\n",
    "zero_df = pd.DataFrame(np.zeros((df1.shape[0], len(field_list))), columns=field_list)\n",
    "for i in range(df1.shape[0]):\n",
    "    # 给每个行业出现的位置赋值1\n",
    "    zero_df.loc[i, temp_list[i]] = 1  # 按行、列标签进行索引\n",
    "field_count = zero_df.sum(axis=0).sort_values(ascending=False)[:10]  #统计各行数据累加并排序"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "\n",
       "<script>\n",
       "    require.config({\n",
       "        paths: {\n",
       "            'echarts':'https://assets.pyecharts.org/assets/echarts.min'\n",
       "        }\n",
       "    });\n",
       "</script>\n",
       "\n",
       "        <div id=\"e09f5ecbda4643969f6ba4bb9dc8fab0\" style=\"width:900px; height:500px;\"></div>\n",
       "\n",
       "<script>\n",
       "        require(['echarts'], function(echarts) {\n",
       "                var chart_e09f5ecbda4643969f6ba4bb9dc8fab0 = echarts.init(\n",
       "                    document.getElementById('e09f5ecbda4643969f6ba4bb9dc8fab0'), 'white', {renderer: 'canvas'});\n",
       "                var option_e09f5ecbda4643969f6ba4bb9dc8fab0 = {\n",
       "    \"animation\": true,\n",
       "    \"animationThreshold\": 2000,\n",
       "    \"animationDuration\": 1000,\n",
       "    \"animationEasing\": \"cubicOut\",\n",
       "    \"animationDelay\": 0,\n",
       "    \"animationDurationUpdate\": 300,\n",
       "    \"animationEasingUpdate\": \"cubicOut\",\n",
       "    \"animationDelayUpdate\": 0,\n",
       "    \"color\": [\n",
       "        \"#c23531\",\n",
       "        \"#2f4554\",\n",
       "        \"#61a0a8\",\n",
       "        \"#d48265\",\n",
       "        \"#749f83\",\n",
       "        \"#ca8622\",\n",
       "        \"#bda29a\",\n",
       "        \"#6e7074\",\n",
       "        \"#546570\",\n",
       "        \"#c4ccd3\",\n",
       "        \"#f05b72\",\n",
       "        \"#ef5b9c\",\n",
       "        \"#f47920\",\n",
       "        \"#905a3d\",\n",
       "        \"#fab27b\",\n",
       "        \"#2a5caa\",\n",
       "        \"#444693\",\n",
       "        \"#726930\",\n",
       "        \"#b2d235\",\n",
       "        \"#6d8346\",\n",
       "        \"#ac6767\",\n",
       "        \"#1d953f\",\n",
       "        \"#6950a1\",\n",
       "        \"#918597\"\n",
       "    ],\n",
       "    \"series\": [\n",
       "        {\n",
       "            \"type\": \"bar\",\n",
       "            \"name\": \"\\u884c\\u4e1a\",\n",
       "            \"data\": [\n",
       "                1349.0,\n",
       "                1349.0,\n",
       "                1652.0,\n",
       "                1652.0,\n",
       "                1652.0,\n",
       "                1822.0,\n",
       "                2455.0,\n",
       "                4900.0,\n",
       "                4900.0,\n",
       "                8133.0\n",
       "            ],\n",
       "            \"barCategoryGap\": \"20%\",\n",
       "            \"label\": {\n",
       "                \"show\": true,\n",
       "                \"position\": \"right\",\n",
       "                \"margin\": 8\n",
       "            },\n",
       "            \"itemStyle\": {\n",
       "                \"color\":         function (params) {             var colorList = [             '#808000','#EFE42A','#64BD3D','#EE9201','#29AAE3',             '#B74AE5','#0AAF9F','#E89589','#FF6666','#C33531'];             return colorList[params.dataIndex]         }        \n",
       "            },\n",
       "            \"rippleEffect\": {\n",
       "                \"show\": true,\n",
       "                \"brushType\": \"stroke\",\n",
       "                \"scale\": 2.5,\n",
       "                \"period\": 4\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"legend\": [\n",
       "        {\n",
       "            \"data\": [\n",
       "                \"\\u884c\\u4e1a\"\n",
       "            ],\n",
       "            \"selected\": {\n",
       "                \"\\u884c\\u4e1a\": true\n",
       "            },\n",
       "            \"show\": true,\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10,\n",
       "            \"itemWidth\": 25,\n",
       "            \"itemHeight\": 14\n",
       "        }\n",
       "    ],\n",
       "    \"tooltip\": {\n",
       "        \"show\": true,\n",
       "        \"trigger\": \"item\",\n",
       "        \"triggerOn\": \"mousemove|click\",\n",
       "        \"axisPointer\": {\n",
       "            \"type\": \"line\"\n",
       "        },\n",
       "        \"textStyle\": {\n",
       "            \"fontSize\": 14\n",
       "        },\n",
       "        \"borderWidth\": 0\n",
       "    },\n",
       "    \"xAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            }\n",
       "        }\n",
       "    ],\n",
       "    \"yAxis\": [\n",
       "        {\n",
       "            \"show\": true,\n",
       "            \"scale\": false,\n",
       "            \"nameLocation\": \"end\",\n",
       "            \"nameGap\": 15,\n",
       "            \"gridIndex\": 0,\n",
       "            \"inverse\": false,\n",
       "            \"offset\": 0,\n",
       "            \"splitNumber\": 5,\n",
       "            \"minInterval\": 0,\n",
       "            \"splitLine\": {\n",
       "                \"show\": false,\n",
       "                \"lineStyle\": {\n",
       "                    \"show\": true,\n",
       "                    \"width\": 1,\n",
       "                    \"opacity\": 1,\n",
       "                    \"curveness\": 0,\n",
       "                    \"type\": \"solid\"\n",
       "                }\n",
       "            },\n",
       "            \"data\": [\n",
       "                \"\\u7535\\u4fe1\",\n",
       "                \"\\u7f51\\u7edc\\u8bbe\\u5907\",\n",
       "                \"\\u534a\\u5bfc\\u4f53\",\n",
       "                \"\\u7535\\u5b50\\u6280\\u672f\",\n",
       "                \"\\u96c6\\u6210\\u7535\\u8def\",\n",
       "                \"\\u901a\\u4fe1\",\n",
       "                \"\\u8ba1\\u7b97\\u673a\\u670d\\u52a1(\\u7cfb\\u7edf\\u3001\\u6570\\u636e\\u670d\\u52a1\\u3001\\u7ef4\\u4fee)\",\n",
       "                \"\\u7535\\u5b50\\u5546\\u52a1\",\n",
       "                \"\\u4e92\\u8054\\u7f51\",\n",
       "                \"\\u8ba1\\u7b97\\u673a\\u8f6f\\u4ef6\"\n",
       "            ]\n",
       "        }\n",
       "    ],\n",
       "    \"title\": [\n",
       "        {\n",
       "            \"text\": \"\\u70ed\\u95e8\\u884c\\u4e1a\",\n",
       "            \"padding\": 5,\n",
       "            \"itemGap\": 10\n",
       "        }\n",
       "    ]\n",
       "};\n",
       "                chart_e09f5ecbda4643969f6ba4bb9dc8fab0.setOption(option_e09f5ecbda4643969f6ba4bb9dc8fab0);\n",
       "        });\n",
       "    </script>\n"
      ],
      "text/plain": [
       "<pyecharts.render.display.HTML at 0x1a83d5844c8>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "field_count = field_count.sort_values()\n",
    "bar = (\n",
    "    Bar()\n",
    "    .add_xaxis(field_count.index.tolist())\n",
    "    .add_yaxis(\"行业\",field_count.tolist(), itemstyle_opts=opts.ItemStyleOpts(color=JsCode(color_function)))\n",
    "    .reversal_axis()\n",
    "    .set_series_opts(label_opts=opts.LabelOpts(position=\"right\"))\n",
    "    .set_global_opts(title_opts=opts.TitleOpts(title=\"热门行业\"))\n",
    ")\n",
    "bar.render_notebook()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "# 对\"职位描述\"进行切词处理\n",
    "df1 = df[df[\"岗位描述\"].notna()]\n",
    "decribe_list = df1[\"岗位描述\"].tolist()\n",
    "# print(decribe_list)\n",
    "decribe_wordcut = []\n",
    "for i in decribe_list:\n",
    "        wordcuts = jieba.lcut(i)\n",
    "        decribe_wordcut += wordcuts\n",
    "# 统计切词后的词频，保存到字典freq1里\n",
    "freq = FreqDist(decribe_wordcut)\n",
    "freq1 = {}\n",
    "for k in freq:\n",
    "    if len(k) >= 2 and freq[k] > 1:  # 删掉长度为1的词，和词频为1的词\n",
    "        freq1[k] = freq[k]\n",
    "# print(freq1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "del freq1[\"熟悉\"]\n",
    "del freq1[\"工作\"]\n",
    "del freq1[\"使用\"]\n",
    "del freq1[\"要求\"]\n",
    "del freq1[\"优先\"]\n",
    "del freq1[\"相关\"]\n",
    "del freq1[\"能力\"]\n",
    "del freq1[\"技术\"]\n",
    "del freq1[\"以上\"]\n",
    "del freq1[\"具备\"]\n",
    "del freq1[\"进行\"]\n",
    "del freq1[\"良好\"]\n",
    "del freq1[\"负责\"]\n",
    "del freq1[\"了解\"]\n",
    "del freq1[\"Python\"]\n",
    "# 删除一些不能给出信息的词语\n",
    "\n",
    "ccloud = wordcloud.WordCloud(background_color='white', width=3000, height=1600,font_path=r\"C:\\Windows\\FONTS\\MSYHL.TTC\")\n",
    "ccloud.generate_from_frequencies(frequencies=freq1)\n",
    "plt.figure()\n",
    "plt.imshow(ccloud, interpolation=\"bilinear\")\n",
    "plt.axis('off')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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